Homework SourseSeasonality hw data and template seasonality class RM Make s
Seasonality h/w data and template (seasonality class RM). Make sure to run regression to get yhat (do not include labels because there is a line gap between the labels and data)
seasonality h/w data
smoothing h/w template
seasonality class room example
| YEAR | TIME SERIES VALUES | |
| 1996.1 | 27 | |
| 1996.2 | 23 | |
| 1996.3 | 21 | |
| 1996.4 | 24 | |
| 1997.1 | 32 | |
| 1997.2 | 26 | |
| 1997.3 | 18 | |
| 1997.4 | 29 | |
| 1998.1 | 28 | |
| 1998.2 | 25 | |
| 1998.3 | 16 | |
| 1998.4 | 30 | |
| 1999.1 | 37 | |
| 1999.2 | 31 | |
| 1999.3 | 21 | |
| 1999.4 | 34 | |
| 2000.1 | 38 | |
| 2000.2 | 33 | |
| 2000.3 | 23 | |
| 2000.4 | 39 |
Solution
YEAR RGNP MOVING AVG EXPONENTIAL SMOOTHING
1960 226.8 * 252.770
1961 245.4 244.300 250.559
1962 260.7 260.467 253.601
1963 275.3 273.000 260.111
1964 283.0 283.500 266.978
1965 292.2 294.967 274.544
1966 309.7 311.300 285.091
1967 332.0 331.800 299.164
1968 353.7 353.667 315.525
1969 375.3 374.733 333.457
1970 395.2 390.733 351.980
1971 401.7 403.800 366.896
1972 414.5 419.967 381.177
1973 443.7 440.100 399.934
1974 462.1 450.367 418.584
1975 445.3 459.600 426.599
1976 471.4 465.700 440.039
1977 480.4 481.700 452.147
1978 493.3 497.067 464.493
1979 517.5 516.167 480.395
1980 537.7 533.000 497.587
1981 543.8 542.200 511.451
1982 545.1 546.600 521.545
1983 550.9 554.767 530.352
1984 568.3 567.967 541.736
1985 584.7 584.867 554.625
1986 601.6 602.200 568.718
1987 620.3 622.300 584.192
1988 645.0 * 602.435
